Deep Switch latest is a rising technology that uses contemporary pre-skilled convolution neural networks or CNNs as a starting point for further evaluation. It leverages already-educated deep networks to fast, and it should be analyzed big information units and has been implemented for numerous imaginative and prescient problems such as object and scene reputation, item detection, and segmentation. This era has been implemented to detect today’s polyps in colonoscopy picas automatically. It is a crucial task because timely detection of today's polyps can cause early diagnosis and treatment of trendy colorectal cancers, one of the leading causes of modern cancers demise worldwide. This paper describes a trendy deep switch technique to detect contemporary polyps in colonoscopy images automatically. Finally, we evaluate our proposed approach at the available Endoscope dataset and exhibit how our trained version can accurately locate polyps in real-international colonoscopy photos. Our trained model achieves country-modern day-the artwork accuracy, making it an able candidate for deployment in scientific settings.